code: def squared_dist_test_data(self):
      data = [
          dict(
              point_a=gs.array([1, 3, 0.1]),
              point_b=gs.array([4, 3, 0.9]),
              expected=gs.array([4.0, 0.0, 1.6]),
          ),
          dict(
              point_a=gs.array(0.1),
              point_b=gs.array(4.9),
              expected=gs.array(14.4),
          ),
          dict(
              point_a=gs.array(0.1),
              point_b=gs.array([4.9, 0.9]),
              expected=gs.array([14.4, 1.6]),
          ),
          dict(
              point_a=gs.array([4.9, 0.4]),
              point_b=gs.array(0.1),
              expected=gs.array([14.4, 0.4]),
          ),
      ]
      return self.generate_tests(data)
  
file_path: geomstats/tests/tests_geomstats/test_information_geometry/data/poisson.py
imports: import geomstats.backend
  from geomstats.test.data import TestData
  from ...test_geometry.data.base import VectorSpaceOpenSetTestData
  from ...test_geometry.data.riemannian_metric import RiemannianMetricTestData
  from .base import InformationManifoldMixinTestData
label_desc: Use image node_id 1 for calling the PoissonMetricSmokeTestData obj's underlying member method code with example usage: obj.squared_dist_test_data() and returns: self